[R] x-labels in barplots

Hi, I need to generate a barplot in in which the x-labels must to be perpendiculars to the x-axis in my data have a list of probability values correspondings to a list of Countries. In the barplot the name of each Country, under each bar, appears parallel to the x axis. Is possibile

Re: [R] truncation and approximation

Maybe you can use round and trunc functions For example if you have a vector like this: x- c(3.000 3.125 3.250 3.375 3.500 3.625 3.750 3.875 4.000) and you want to round the numbers to 2 decimals you can use: round(x,2) [1] 3.00 3.12 3.25 3.38 3.50 3.62 3.75 3.88 4.00 if you want a

[R] pglm: probit random model

Hi all, I'm using pglm package to estimate a static random probit model of the type: Yi,t = B1X1i,t-k +... + BzXzi,t-k + Ci+ Ui,t Where Yi={0,1} and all explenatory variables are continuous. the function I use is: pglm(formula,, Data, family = binomial(probit), model = random,method= bfgs)

[R] theta parameter - plm package

Hi all, what indicates the parameter theta in the summary of a random effect panel model estimated with the plm function? example: data(Produc, package = plm) zz - plm(log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp, model=random, data = Produc, index = c(state,year)) summary(zz)

[R] pglm package: fitted values and residuals

I'm using the package pglm and I'have estimated a random probit model. I need to save in a vector the fitted values and the residuals of the model but I can not do it. I tried with the command fitted.values using the following procedure without results: library(pglm) m1_S-pglm(Feed ~

[R] maxLik: different estimations from different packages

Dear all, we are computing maximum likelihood estimations using maxLik package and we realized that the results of the estimation depend on the version of the package installed for example if we try to estimate this function with an old version of maxLik under R 2.13.1 (32 bit version

[R] resdiuals of random model estimated by plm function

Hi all, I have estimated a random panel model using plm function. I have a question about the vector of resduals obtained with the object $residuals. example: data(Produc, package = plm) zz - plm(log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp, model=random, data = Produc, index =

[R] splm package: Spatial weights matrix of the 103 Italian provinces

Hello, I'm using the spatial weights matrix of the 103 Italian provinces itaww of the package splm example: library(splm) data(itaww) itaww It is a matrix of 103 rows and 103 columns. Each row (and each column) corresponds to an italian province and I would like to know the row's

[R] coeftest with covariance matrix

Hi all, I want to ask you which is the difference between the specifyng and not specifyng the covariance matrix of the estimated coefficients when performing the coeftest command. I'm estimating a VECM model and I want to test the significance of the short-run casual effects of the